{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["An AY"],"funding":["NIAID NIH HHS"],"pagination":["105411"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11663757"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["110"],"pubmed_abstract":["Background
Neonatal sepsis is a deadly disease with non-specific clinical signs, delaying diagnosis and treatment. There remains a need for early biomarkers to facilitate timely intervention. Our objective was to identify neonatal sepsis gene expression biomarkers that could predict sepsis at birth, prior to clinical presentation.Methods
Among 720 initially healthy full-term neonates in two hospitals (The Gambia, West Africa), we identified 21 newborns who were later hospitalized for sepsis in the first 28 days of life, split into early-onset sepsis (EOS, onset ≤7 days of life) and late-onset sepsis (LOS, onset 8-28 days of life), 12 neonates later hospitalized for localized infection without evidence of systemic involvement, and 33 matched control neonates who remained hea"],"journal":["EBioMedicine"],"pubmed_title":["Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation."],"pmcid":["PMC11663757"],"funding_grant_id":["K08 AI168487"],"pubmed_authors":["Amenyogbe N","Matlam JP","Rao S","Martino D","Huang J","Parker EPK","Larsen K","Ford R","Burnell K","Golding CN","Dibbasey T","Ndure J","van den Biggelaar AHJ","Wariri O","Njie-Jobe J","Fatou B","Bennike TB","Vo D","Odumade OA","Ben-Othman R","Chen V","Masiria G","Dhillon BK","Kirarock W","Palma P","Diray-Arce J","He D","Ozonoff A","Chen J","Cooney M","Idoko OT","Dibassey T","Francis F","Sanchez-Schmitz G","Darboe A","Plotkin A","An AY","Sanca L","Syphurs C","van Haren SD","Imam A","Smolen KK","Checkervarty A","Kraft K","Pak J","Lee AH","Bjerregaard-Andersen M","Pettengill MA","Montante S","McEnaney K","Levy O","Blimkie TM","Karoly ME","Richmond PC","Angelidou A","A","Kollmann TR","Steen H","Strandmark J","Liu M","Pomat WS","Blimkie T","Hoch A","Acton E","M","Brook B","Cai B","Hinshaw SH","Marchant A","Lasky-Su J","Vignolo S","Schaltz-Buchholzer F","Kampmann B","Falsafi R","Saleu G","Tebbutt SJ","EPIC Consortium","Shannon CP","Bennike T","Harbeson DJ","Bao W","Singh A","Malek M","Roberts E","Smith M","Hancock REW","Varankovich N","McLoughlin C","Liu A","Martino DJ","Nguyen A","Morrocchi E","Brinkman RR","Cox M"],"additional_accession":[]},"is_claimable":false,"name":"Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation.","description":"Background
Neonatal sepsis is a deadly disease with non-specific clinical signs, delaying diagnosis and treatment. There remains a need for early biomarkers to facilitate timely intervention. Our objective was to identify neonatal sepsis gene expression biomarkers that could predict sepsis at birth, prior to clinical presentation.Methods
Among 720 initially healthy full-term neonates in two hospitals (The Gambia, West Africa), we identified 21 newborns who were later hospitalized for sepsis in the first 28 days of life, split into early-onset sepsis (EOS, onset ≤7 days of life) and late-onset sepsis (LOS, onset 8-28 days of life), 12 neonates later hospitalized for localized infection without evidence of systemic involvement, and 33 matched control neonates who remained hea","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2026-04-08T19:49:03.178Z","creation":"2025-04-03T23:14:04.174Z"},"accession":"S-EPMC11663757","cross_references":{"pubmed":["39472236"],"doi":["10.1016/j.ebiom.2024.105411"]}}